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Informative battery charging: integrating fast charging and optimal experiments
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Scania CV AB, Södertälje, Sweden.ORCID iD: 0000-0003-3318-5841
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-2951-9036
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-9368-3079
Scania CV AB, Södertälje, Sweden.ORCID iD: 0000-0001-5748-0226
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2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents informative battery charging, a novel approach for battery model parameter estimation during fast charge. Our solution comprises three distinct contributions: first, we develop a semi-explicit solution to an optimal fast charging problem for equivalent circuit models with health-conscious voltage constraints; second, we design optimal experiments for battery model parameter estimation; and third, we suggest a strategy for how the fast charging and experimentation currents can be combined while still satisfying constraints and maintaining acceptable charging times. Numerical results show that model parameters can be identified with lower variance if an optimal experiment is added to the charging procedure.

Place, publisher, year, edition, pages
Elsevier BV , 2023. p. 11160-11166
Keywords [en]
Electric vehicles, Fast charging, Input and excitation design, Lithium-ion battery, Optimal control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-349847DOI: 10.1016/j.ifacol.2023.10.835ISI: 001196708400578Scopus ID: 2-s2.0-85180774770OAI: oai:DiVA.org:kth-349847DiVA, id: diva2:1881498
Conference
22nd IFAC World Congress, Yokohama, Japan, Jul 9 2023 - Jul 14 2023
Note

Part of ISBN 9781713872344

QC 20240703

Available from: 2024-07-03 Created: 2024-07-03 Last updated: 2024-07-03Bibliographically approved

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Andersson, MalinTaghavian, HamedHjalmarsson, HåkanKlass, VerenaJohansson, Mikael

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